Bayesian statistical ionospheric tomography improved by incorporating ionosonde measurements

Norberg, Johannes; Virtanen, Ilkka I.; Roininen, Lassi; Vierinen, Juha; Orispää, Mikko; Kauristie, Kirsti; Lehtinen, Markku S.

doi:https://doi.org/10.5194/amt-9-1859-2016

Articles | Volume 9, issue 4

https://doi.org/10.5194/amt-9-1859-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-9-1859-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 4

Research article

| Highlight paper

|

28 Apr 2016

Research article | Highlight paper |

| 28 Apr 2016

Bayesian statistical ionospheric tomography improved by incorporating ionosonde measurements

Johannes Norberg, Ilkka I. Virtanen, Lassi Roininen, Juha Vierinen, Mikko Orispää, Kirsti Kauristie, and Markku S. Lehtinen

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Final revised paper (published on 28 Apr 2016)
Preprint (discussion started on 21 Sep 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C3552: 'Reviewer comments', Anonymous Referee #1, 26 Oct 2015
- AC C5531: 'Response to Referee 1', Johannes Norberg, 26 Feb 2016
RC C5231: 'Review of Ionosonde measurements in Bayesian statistical tomography with incoherent scatter validation', Anonymous Referee #2, 30 Jan 2016
- AC C5541: 'Response to Referee 2', Johannes Norberg, 26 Feb 2016

Short summary

We validate 2-D ionospheric tomography reconstructions against EISCAT incoherent scatter radar measurements. The method is based on Bayesian statistical inversion. We employ ionosonde measurements for the choice of the prior distribution parameters and use a sparse matrix approximation for the computations. This results in a computationally efficient tomography algorithm with clear probabilistic interpretation. We find that ionosonde measurements improve the reconstruction significantly.